COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol.199, 2021 (Peer-Reviewed Journal)
Article / Article
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Science Citation Index Expanded, Scopus, Academic Search Premier, PASCAL, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE
Brain MRI, Artefact detection, Convolutional neural networks, Stroke segmentation
Background and Objective: Brain MRI is one of the most commonly used diagnostic imaging tools to detect neurodegenerative disease. Diagnostic image quality is a key factor to enable robust image analysis algorithms developed for downstream tasks such as segmentation. In clinical practice, one of the main challenges is the presence of image artefacts, which can lead to low diagnostic image quality.